{"id":"https://openalex.org/W2005465043","doi":"https://doi.org/10.1109/robio.2011.6181253","title":"Transparent object detection using color image and laser reflectance image for mobile manipulator","display_name":"Transparent object detection using color image and laser reflectance image for mobile manipulator","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2005465043","doi":"https://doi.org/10.1109/robio.2011.6181253","mag":"2005465043"},"language":"en","primary_location":{"id":"doi:10.1109/robio.2011.6181253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089294425","display_name":"Lei Zhong","orcid":"https://orcid.org/0000-0003-4384-2825"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zhong Lei","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku Univ.#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055778007","display_name":"Kazunori Ohno","orcid":"https://orcid.org/0000-0003-3958-2901"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Ohno","raw_affiliation_strings":["JST, University of Tohoku, Japan","JST/Tohoku University"],"affiliations":[{"raw_affiliation_string":"JST, University of Tohoku, Japan","institution_ids":["https://openalex.org/I201537933"]},{"raw_affiliation_string":"JST/Tohoku University","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035049727","display_name":"Masanobu Tsubota","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanobu Tsubota","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku Univ.#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113688124","display_name":"Eijiro Takeuchi","orcid":null},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Eijiro Takeuchi","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku Univ.#TAB#","institution_ids":["https://openalex.org/I201537933"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014118063","display_name":"Satosh\u0131 Tadokoro","orcid":"https://orcid.org/0000-0002-5571-4276"},"institutions":[{"id":"https://openalex.org/I201537933","display_name":"Tohoku University","ror":"https://ror.org/01dq60k83","country_code":"JP","type":"education","lineage":["https://openalex.org/I201537933"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Tadokoro","raw_affiliation_strings":["University of Tohoku, Japan","Tohoku Univ.#TAB#"],"affiliations":[{"raw_affiliation_string":"University of Tohoku, Japan","institution_ids":[]},{"raw_affiliation_string":"Tohoku Univ.#TAB#","institution_ids":["https://openalex.org/I201537933"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089294425"],"corresponding_institution_ids":["https://openalex.org/I201537933"],"apc_list":null,"apc_paid":null,"fwci":3.4237,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91555312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8453646302223206},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.8202308416366577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5625778436660767},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.496507465839386},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4675185978412628},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45649993419647217},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.44427797198295593},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4116678833961487},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.29555565118789673},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2794122099876404}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8453646302223206},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.8202308416366577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5625778436660767},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.496507465839386},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4675185978412628},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45649993419647217},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.44427797198295593},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4116678833961487},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.29555565118789673},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2794122099876404},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/robio.2011.6181253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/robio.2011.6181253","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Robotics and Biomimetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W215171429","https://openalex.org/W2100140302","https://openalex.org/W2124351162","https://openalex.org/W2128652842","https://openalex.org/W2143700590","https://openalex.org/W2163039610","https://openalex.org/W2169551590","https://openalex.org/W2293126239","https://openalex.org/W3141300019","https://openalex.org/W4248635988"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W4281727072","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1522196789","https://openalex.org/W1991262051"],"abstract_inverted_index":{"It":[0],"is":[1,58,125,137],"a":[2,7,49,90],"significant":[3],"challenge":[4],"to":[5,139],"detect":[6],"transparent":[8,23,53,66,79,93,120,148],"object":[9,45,54,67,94],"using":[10,76,96,160],"conventional":[11],"visual":[12,158],"sensors.":[13],"In":[14,164],"this":[15],"paper,":[16],"we":[17,88],"show":[18,168],"that":[19],"the":[20,44,61,65,83,157,161,169,172],"characteristics":[21,46],"of":[22,85,92,119,174],"objects":[24,80,149],"under":[25],"different":[26,178],"lighting":[27],"conditions":[28],"(normal":[29],"light":[30],"and":[31,47,142,171,182],"laser":[32,103,143],"light)":[33],"can":[34,112],"be":[35,69,113],"exploited":[36],"for":[37,52,60,115,127,177],"improved":[38],"detection":[39,95,116],"accuracy.":[40],"The":[41],"authors":[42],"analyzed":[43],"found":[48],"novel":[50],"method":[51,57,91,176],"detection.":[55],"GrabCut[11]":[56],"used":[59,114,126],"image":[62,100,111],"segmentation.":[63],"However,":[64],"cannot":[68],"detected":[70,152],"from":[71,109],"color":[72,84,99,110],"or":[73],"depth":[74,140],"images":[75,141],"GrabCut,":[77],"because":[78],"always":[81],"shows":[82],"background.":[86,183],"So,":[87],"propose":[89],"not":[97],"only":[98],"but":[101],"also":[102],"reflectance":[104,144],"intensity":[105,145],"image.":[106],"Highlight":[107],"spots":[108],"candidate":[117,123],"areas":[118,124],"objects.":[121],"These":[122],"GrabCut":[128,136],"as":[129],"bounding":[130],"rectangle":[131],"input.":[132],"Thereafter,":[133],"segmentation":[134],"by":[135,156],"applied":[138],"images.":[146],"Bottle-shaped":[147],"are":[150],"correctly":[151],"within":[153],"short":[154],"distance":[155,181],"sensor":[159],"proposed":[162],"method.":[163],"addition,":[165],"other":[166],"evaluations":[167],"robustness":[170],"limits":[173],"our":[175],"shapes,":[179],"materials,":[180]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}